Affle 3i Limited (AFFLE) Fair Value & Analysis
Communication Services · IN · Market cap ₹203B
Fair value as of: Aug 13, 2026
From 26 valuation models · updated today
Share price +8.3% over the past month.
A solid business, but screening 63% overvalued on our models.
What matters now
- The price sits above even our optimistic bull case (₹741.61). The favourable scenario is already priced in.
- Solid but not exceptional quality (59/100) and above fair value, neither a clear bargain nor a standout compounder.
Price vs Fair Value (5 years)
White line = price, green steps = our fair value per fiscal year, dashed = 300-day average. As of Aug 13, 2026.
How to read this chart
60‑month range ₹767.23 – ₹2,147 · fair‑value band ₹476.65 – ₹741.61 · the ₹1,643 price screens above the ₹611.48 fair value. Dashed = 300-day average. As of Aug 13, 2026.
Analysis
Affle 3i Limited (AFFLE) currently trades at ₹1,643, while our model-based Fair Value estimate is ₹611.48, implying the stock looks roughly 62.8% overvalued today. The Quality Score stands at 59/100 (solid quality), in the Communication Services sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium, the entry price still matters most (evidence: high).
Over the trailing twelve months, Affle 3i Limited generated revenue of ₹27.1B at a net margin of 16.8%. Revenue grew 20.3% year over year. It earns a return on equity of 13.8%. The balance sheet holds a net cash position of ₹12.8B. Fundamentals as of Aug 13, 2026
Our scenario range runs from ₹476.65 (bear case) to ₹741.61 (bull case); at ₹1,643, the current price sits above that range. Bear and bull are the same models run on conservative and optimistic assumptions (margins, growth, valuation multiples), so a plausible valuation range, not a price target. The share trades about 25% below its 52-week high and 31% above its 52-week low, currently above its 200-day average. For context, the median of 10 Communication Services peers we cover trades at -13% fair-value upside, at -63%, AFFLE screens richer than that median.
Fair Value models
Each model estimates fair value its own way; the Fair Value above is the evidence-weighted blend. Evidence (0–100) measures how completely this model’s inputs are available: well-fed models carry more weight in the blend. The spread across models is intentional, each one stresses a different value driver; dividend models, for instance, come out structurally low when payout is small.
All 26 models by family
Widest divergence: Growth Earnings (₹1,503) versus Dividend Discount (₹9.92). Highest evidence: Growth DCF (80).
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Key figures & financial health
More key figures
Figures from reported company fundamentals · as of Aug 13, 2026. TTM = trailing twelve months.
Quality Score breakdown
Of which business quality 61 · Market factors (momentum, volatility) 47
Non-valuation factor families (profitability, growth, cashflow, financial strength, momentum …), each academically grounded. Valuation itself sits in the Fair Value and is deliberately excluded here to avoid double-counting.
About the company
Affle 3i Limited, together with its subsidiaries, provides mobile advertisement services through information technology and software development services for mobiles in India and internationally.
Full company description
Affle 3i Limited, together with its subsidiaries, provides mobile advertisement services through information technology and software development services for mobiles in India and internationally. It operates Appnext, an app discovery platform that displays contextual and personal app recommendations; Mediasmart, an omnichannel programmatic advertising platform; Jampp, a programmatic platform to grow app business; RevX, a programmatic advertising for app marketers; and YouAppi, a programmatic mobile app retargeting solution. The company was formerly known as Affle (India) Limited and changed its name to Affle 3i Limited in April 2025. Affle 3i Limited was incorporated in 1994 and is based in Gurugram, India.
Company description, as reported by the company or data provider.
Revenue & earnings trend
FY2022 – FY2026 · reported fiscal years
Affle 3i Limited reported revenue of ₹27.1B in FY2026 versus ₹10.8B in FY2022, a compound +25.8%/yr. Reported net income was ₹4.5B in FY2026, compounding +20.8%/yr from FY2022.
AFFLE screens 63% overvalued. Compare with AppLovin Corporation →
Peer Group
Advertising Agencies · 199 stocks
How this stock ranks against its industry: the green marker is this stock, the band is the typical 25–75% peer range, and the tick is the median.
Valuation Multiples vs Advertising Agencies median · lower = cheaper
Snowflake
Five quick dimensions, each 0 to 100: VALUE (fair-value potential), FUTURE (revenue growth), PAST (return on equity), HEALTH (low debt), DIVIDEND (yield). Green = this stock, grey = typical sector peer.
VALUE 0: the price sits above our fair-value range.
Values & ESG
Does this company touch areas you may want to avoid? The classification is inferred from sector and industry.
ESG scores are not available for this stock yet. Values and ESG data are contextual and can differ between providers.
Similar stocks
10 more Advertising Agencies stocks, each showing price versus our Fair Value estimate (as of Aug 13, 2026).
| Stock | Price | Fair Value | vs Fair Value |
|---|---|---|---|
| AppLovin Corporation APP | $303.76 | $252.45 | -17% |
| Publicis Groupe S.A PUB | €99.98 | €146.36 | +46% |
| Omnicom Group OMC | $85.51 | $99.84 | +17% |
| Focus Media Information Technology Co 002027 | ¥5.29 | ¥5.71 | +8% |
| The Trade Desk, Inc TTD | $13.49 | $29.07 | +115% |
| JCDecaux SE DEC | €24.00 | €20.99 | -13% |
| Easy Click Worldwide Network Technology Co 301171 | ¥37.40 | ¥5.62 | -85% |
| Mobvista Inc 1860 | HK$11.04 | HK$6.43 | -42% |
| Guangdong Advertising Group 002400 | ¥7.33 | ¥1.14 | -84% |
| Zhewen Interactive Group 600986 | ¥8.24 | ¥1.47 | -82% |
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How we calculate Fair Value
Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data, nothing guessed.
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